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help / color / mirror / Atom feedFrom: Igor Neyman <[email protected]>
To: Charles Nadeau <[email protected]>
Cc: Jeff Janes <[email protected]>
Cc: [email protected] <[email protected]>
Subject: Re: Very poor read performance, query independent
Date: Fri, 14 Jul 2017 19:13:28 +0000
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From: Charles Nadeau [mailto:[email protected]]
Sent: Friday, July 14, 2017 11:35 AM
To: Igor Neyman <[email protected]>
Cc: Jeff Janes <[email protected]>; [email protected]
Subject: Re: [PERFORM] Very poor read performance, query independent
Igor,
Initially temp_buffer was left to its default value (8MB). Watching the content of the directory that stores the temporary files, I found that I need at most 21GB of temporary files space. Should I set temp_buffer to 21GB?
Here is the explain you requested with work_mem set to 6GB:
flows=# set work_mem='6GB';
SET
flows=# explain (analyze, buffers) SELECT DISTINCT
srcaddr,
dstaddr,
dstport,
COUNT(*) AS conversation,
SUM(doctets) / 1024 / 1024 AS mbytes
FROM
flowscompact,
mynetworks
WHERE
mynetworks.ipaddr >>= flowscompact.srcaddr
AND dstaddr IN
(
SELECT
dstaddr
FROM
dstexterne
)
GROUP BY
srcaddr,
dstaddr,
dstport
ORDER BY
mbytes DESC LIMIT 50;
QUERY PLAN
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Limit (cost=48135680.07..48135680.22 rows=50 width=52) (actual time=2227678.196..2227678.223 rows=50 loops=1)
Buffers: shared hit=728798038 read=82974833, temp read=381154 written=381154
-> Unique (cost=48135680.07..48143613.62 rows=2644514 width=52) (actual time=2227678.194..2227678.217 rows=50 loops=1)
Buffers: shared hit=728798038 read=82974833, temp read=381154 written=381154
-> Sort (cost=48135680.07..48137002.33 rows=2644514 width=52) (actual time=2227678.192..2227678.202 rows=50 loops=1)
Sort Key: (((sum(flows.doctets) / '1024'::numeric) / '1024'::numeric)) DESC, flows.srcaddr, flows.dstaddr, flows.dstport, (count(*))
Sort Method: quicksort Memory: 654395kB
Buffers: shared hit=728798038 read=82974833, temp read=381154 written=381154
-> GroupAggregate (cost=48059426.65..48079260.50 rows=2644514 width=52) (actual time=2167909.030..2211446.192 rows=5859671 loops=1)
Group Key: flows.srcaddr, flows.dstaddr, flows.dstport
Buffers: shared hit=728798038 read=82974833, temp read=381154 written=381154
-> Sort (cost=48059426.65..48060748.90 rows=2644514 width=20) (actual time=2167896.815..2189107.205 rows=91745640 loops=1)
Sort Key: flows.srcaddr, flows.dstaddr, flows.dstport
Sort Method: external merge Disk: 3049216kB
Buffers: shared hit=728798038 read=82974833, temp read=381154 written=381154
-> Gather (cost=30060688.07..48003007.07 rows=2644514 width=20) (actual time=1268989.000..1991357.232 rows=91745640 loops=1)
Workers Planned: 12
Workers Launched: 12
Buffers: shared hit=728798037 read=82974833
-> Hash Semi Join (cost=30059688.07..47951761.31 rows=220376 width=20) (actual time=1268845.181..2007864.725 rows=7057357 loops=13)
Hash Cond: (flows.dstaddr = flows_1.dstaddr)
Buffers: shared hit=728795193 read=82974833
-> Nested Loop (cost=0.03..17891246.86 rows=220376 width=20) (actual time=0.207..723790.283 rows=37910370 loops=13)
Buffers: shared hit=590692229 read=14991777
-> Parallel Seq Scan on flows (cost=0.00..16018049.14 rows=55094048 width=20) (actual time=0.152..566179.117 rows=45371630 loops=13)
Buffers: shared hit=860990 read=14991777
-> Index Only Scan using mynetworks_ipaddr_idx on mynetworks (cost=0.03..0.03 rows=1 width=8) (actual time=0.002..0.002 rows=1 loops=589831190)
Index Cond: (ipaddr >>= (flows.srcaddr)::ip4r)
Heap Fetches: 0
Buffers: shared hit=589831203
-> Hash (cost=30059641.47..30059641.47 rows=13305 width=4) (actual time=1268811.101..1268811.101 rows=3803508 loops=13)
Buckets: 4194304 (originally 16384) Batches: 1 (originally 1) Memory Usage: 166486kB
Buffers: shared hit=138102964 read=67983056
-> HashAggregate (cost=30059561.64..30059601.56 rows=13305 width=4) (actual time=1265248.165..1267432.083 rows=3803508 loops=13)
Group Key: flows_1.dstaddr
Buffers: shared hit=138102964 read=67983056
-> Nested Loop Anti Join (cost=0.00..29729327.92 rows=660467447 width=4) (actual time=0.389..1201072.707 rows=125838232 loops=13)
Join Filter: (mynetworks_1.ipaddr >> (flows_1.dstaddr)::ip4r)
Rows Removed by Join Filter: 503353617
Buffers: shared hit=138102964 read=67983056
-> Seq Scan on flows flows_1 (cost=0.00..17836152.73 rows=661128576 width=4) (actual time=0.322..343152.274 rows=589831190 loops=13)
Buffers: shared hit=138102915 read=67983056
-> Materialize (cost=0.00..1.02 rows=4 width=8) (actual time=0.000..0.000 rows=2 loops=7667805470)
Buffers: shared hit=13
-> Seq Scan on mynetworks mynetworks_1 (cost=0.00..1.01 rows=4 width=8) (actual time=0.006..0.007 rows=4 loops=13)
Buffers: shared hit=13
Planning time: 0.941 ms
Execution time: 2228345.171 ms
(48 rows)
With a work_mem at 6GB, I noticed that for the first 20 minutes the query was running, the i/o wait was much lower, hovering aroun 3% then it jumped 45% until almost the end of the query.
flowscompact and dstexterne are actually views. I use views to simplify query writing and to "abstract" queries that are use often in other queries. flowscompact is a view built on table flows (having about 590 million rows), it only keeps the most often used fields.
flows=# \d+ flowscompact;
View "public.flowscompact"
Column | Type | Modifiers | Storage | Description
-----------+--------------------------+-----------+---------+-------------
flow_id | bigint | | plain |
sysuptime | bigint | | plain |
exaddr | ip4 | | plain |
dpkts | integer | | plain |
doctets | bigint | | plain |
first | bigint | | plain |
last | bigint | | plain |
srcaddr | ip4 | | plain |
dstaddr | ip4 | | plain |
srcport | integer | | plain |
dstport | integer | | plain |
prot | smallint | | plain |
tos | smallint | | plain |
tcp_flags | smallint | | plain |
timestamp | timestamp with time zone | | plain |
View definition:
SELECT flowstimestamp.flow_id,
flowstimestamp.sysuptime,
flowstimestamp.exaddr,
flowstimestamp.dpkts,
flowstimestamp.doctets,
flowstimestamp.first,
flowstimestamp.last,
flowstimestamp.srcaddr,
flowstimestamp.dstaddr,
flowstimestamp.srcport,
flowstimestamp.dstport,
flowstimestamp.prot,
flowstimestamp.tos,
flowstimestamp.tcp_flags,
flowstimestamp."timestamp"
FROM flowstimestamp;
mynetworks is a table having one column and 4 rows; it contains a list of our network networks:
flows=# select * from mynetworks;
ipaddr
----------------
192.168.0.0/24<http://192.168.0.0/24;
10.112.12.0/30<http://10.112.12.0/30;
10.112.12.4/30<http://10.112.12.4/30;
10.112.12.8/30<http://10.112.12.8/30;
(4 row)
flows=# \d+ mynetworks;
Table "public.mynetworks"
Column | Type | Modifiers | Storage | Stats target | Description
--------+------+-----------+---------+--------------+-------------
ipaddr | ip4r | | plain | |
Indexes:
"mynetworks_ipaddr_idx" gist (ipaddr)
dstexterne is a view listing all the destination IPv4 addresses not inside our network; it has one column and 3.8 million rows.
flows=# \d+ dstexterne;
View "public.dstexterne"
Column | Type | Modifiers | Storage | Description
---------+------+-----------+---------+-------------
dstaddr | ip4 | | plain |
View definition:
SELECT DISTINCT flowscompact.dstaddr
FROM flowscompact
LEFT JOIN mynetworks ON mynetworks.ipaddr >> flowscompact.dstaddr::ip4r
WHERE mynetworks.ipaddr IS NULL;
Thanks!
Charles
Charles,
Don’t change temp_buffers.
Try to increase work_mem even more, say work_mem=’12GB’, because it’s still using disk for sorting (starting around 20th minute as you noticed).
See if this:
“Sort Method: external merge Disk: 3049216kB”
goes away.
Igor
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Subject: Re: Very poor read performance, query independent
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